exploratory_cluster: Explore the clustering structure in a set of variables

In awstringer/modellingTools: A Collection of Useful Custom Tools for D&A and Modelling

Description

This function wraps the clustering functionality from ClustOfVar into a more user-friendly format. Use this function to perform the exploratory heirarchical clustering, with the aim of deciding the number of final clusters to use

Usage

exploratory_cluster(dat)

Arguments

dat	data.frame/tbl containing the variables to cluster. Be sure to only include input variables; no internal filtering is performed

Details

The function internally tries to avoid copying of the input data as much as possible, however the implementation of ClustOfVar makes an extraordinary number of copies by default. This method may be prohibitively slow/memory intensive on large datasets. The output of this function is designed to be used as input to variable_cluster, which actually maps variables to clusters

Value

an object of class mtClust containing elements hclust, the object showing the heirarchical clustering, and stab, showing the graph used to select the number of clusters

See Also

variable_cluster

Examples

exploratory_cluster

awstringer/modellingTools documentation built on May 11, 2019, 4:11 p.m.